Improving Solar Eruption Forecasting using Active Region Evolution
Abstract
The Solar Monitor Active Region Tracker algorithm uses line-of-sight magnetogram observations to determine ‘magnetically interesting’ ARs that may be of interest for flaring. The original code, written in the Interactive Data Language, used data from the Michelson Doppler Imager onboard the Solar and Heliospheric Observatory. However this data is no longer available, with higher spatial and temporal resolution data now available from NASA’s Solar Dynamics Observatory, and the original code not able to be used for operational purposes. In this work package the algorithm will be further developed into a robust real-time monitoring system to track the recent evolution of active region magnetic properties for space weather forecasting use. Code will be written in the open-source Python language, and tested and validated to operational standards.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2017
- Source ID
- FA95501710392
Entities
People
- Sophie A Murray
Organizations
- Air Force Office of Scientific Research
- Trinity College Dublin
- United States Air Force